Design of Incu Analyzer for IoT-Based Baby Incubator Calibration DOI Creative Commons

Salsabilla Kusuma Maulani,

Syaifudin Syaifudin, Anita Miftahul Maghfiroh

et al.

Jurnal Teknokes, Journal Year: 2024, Volume and Issue: 17(1)

Published: March 19, 2024

An incubator analyzer, serving as a calibration tool, is utilized to measure diverse parameters such temperature, mattress humidity, airflow, and noise in infant incubators. The present study focuses on the development of Design Incubator Analyzer for IoT (Mattress Temperature Humidity) with LCD ThingSpeak display, specifically designed calibrating baby primary objective design develop an device assessing various incubators, encompassing noise. this incorporates Thermocouple Type-K sensor temperature parameters, DHT22 humidity ESP32 microcontroller. processes data from sensors generate values (TM) (RH), which are then displayed displays. underwent rigorous testing against established measuring device, INCU II. In study, TM parameter or exhibited smallest error -0.0140% at 35°C largest 0.0584% 36°C. Concerning parameter, was 0.0570% 32°C, while 0.0207% 35°C. Overall, IoT-Based Baby Calibration IoT-based Analyzer, demonstrates potential usability following planning execution phases, including thorough review existing literature. To enhance user experience during process, system developed transmission over Wi-Fi, presenting results platform real-time

Language: Английский

Dual Air-Conditioner Optimization : Intelligent Power Management Via Microcontroller DOI Open Access

R. Thangasankaran,

S Parthasarathy,

Rajeev Krishna

et al.

International Journal of Scientific Research in Science Engineering and Technology, Journal Year: 2025, Volume and Issue: 12(1), P. 261 - 266

Published: Feb. 20, 2025

This proposed paper presents an innovative IoT-based solution for automating dual air conditioner operation, leveraging ESP32 microcontrollers, temperature sensors, and Wi-Fi communication. The system continuously monitors room automatically switches the on or off based predefined thresholds. real-time monitoring automation enhance comfort, save energy, increase reliability, reduce maintenance. optimizes AC detects anomalies, prevents power overloads, making it efficient safe units. By employing inrush current testing, can accurately detect anomalies prevent enhancing both safety energy efficiency. is a compact, low-cost, user-friendly that be easily integrated into existing conditioning systems. project demonstrates potential of IoT technology in improving efficiency various applications. system's effectiveness validated through experimental results, which show significant savings improved reliability. project's findings have important implications development smart buildings cities.

Language: Английский

Citations

0

Real-time monitoring system for blood pressure monitoring based on internet of things DOI Open Access
I Gusti Made Ngurah Desnanjaya, I Made Aditya Nugraha

Indonesian Journal of Electrical Engineering and Computer Science, Journal Year: 2024, Volume and Issue: 35(1), P. 62 - 62

Published: May 6, 2024

Blood pressure is an important cardiovascular health indicator, with normal values set by the WHO at 140 mmHg for systole and 90 diastole. Excess of these indicates hypertension, which increases risk serious medical complications. This research developed internet things (IoT)-based blood monitoring device, facilitates digital measurement data transmission to widely accessible applications websites. The device uses MPX5050GP sensor, Arduino Nano, NodeMCU ESP32, as well other components programmed using IDE. Test results obtained from 10 subjects, showed average difference in 7.9 diastole 5.4 mmHg. complies recognized accuracy standards a maximum error that operates effectively designed concept.

Language: Английский

Citations

2

Design of Incu Analyzer for IoT-Based Baby Incubator Calibration DOI Creative Commons

Salsabilla Kusuma Maulani,

Syaifudin Syaifudin, Anita Miftahul Maghfiroh

et al.

Jurnal Teknokes, Journal Year: 2024, Volume and Issue: 17(1)

Published: March 19, 2024

An incubator analyzer, serving as a calibration tool, is utilized to measure diverse parameters such temperature, mattress humidity, airflow, and noise in infant incubators. The present study focuses on the development of Design Incubator Analyzer for IoT (Mattress Temperature Humidity) with LCD ThingSpeak display, specifically designed calibrating baby primary objective design develop an device assessing various incubators, encompassing noise. this incorporates Thermocouple Type-K sensor temperature parameters, DHT22 humidity ESP32 microcontroller. processes data from sensors generate values (TM) (RH), which are then displayed displays. underwent rigorous testing against established measuring device, INCU II. In study, TM parameter or exhibited smallest error -0.0140% at 35°C largest 0.0584% 36°C. Concerning parameter, was 0.0570% 32°C, while 0.0207% 35°C. Overall, IoT-Based Baby Calibration IoT-based Analyzer, demonstrates potential usability following planning execution phases, including thorough review existing literature. To enhance user experience during process, system developed transmission over Wi-Fi, presenting results platform real-time

Language: Английский

Citations

1